Linkedin
Scraping Teardown
Find out everything you need to know to reliably scrape Linkedin,
including scraping guides, Github Repos, proxy performance and more.
Linkedin Web Scraping Overview
Linkedin implements multiple layers of protection to prevent automated data extraction. This section provides an overview of its anti-bot systems and common challenges faced when scraping, along with insights into how these protections work and potential strategies to navigate them.
Scraping Summary
LinkedIn is a professional networking site that hosts extensive job listings and resume postings. It's a popular target for web scraping, particularly for recruiters and market researchers who are interested in the rich job and professional data it contains. The company has implemented various anti-scraping systems, including sophisticated rate limiting and bot detection mechanisms, which makes scraping a challenging task. For successful scraping, methods such as rotating proxies, using headless browsers, and mimicking human-like actions might be necessary. The website mainly uses a dynamic structure, so keeping up with changes in its layout and AJAX calls can require steady maintenance of the scraper. Parsing the data can be quite laborious due to the nested nature of user profiles and connections.
Subdomains
Best Linkedin Proxies
Proxy statistics and optimal proxy providers for scraping Linkedin. Learn which proxy types work best, their success rates, and how to minimize bans with the right provider.
Proxy API Providers
Compare the top proxy API providers for scraping Linkedin. See which providers offer the best performance, success rates, and value for your web scraping needs.
ScrapeOps Proxy API Aggregator
Use over 20+ web scraping proxy API providers from a single proxy port. The ScrapeOps Proxy API Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.
Proxy API Performance Comparisons
We're working on bringing you comprehensive proxy API provider comparisons for Linkedin. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best proxy API provider for scraping Linkedin.
Residential Proxy Providers
Compare the top residential and mobile proxy providers for scraping Linkedin. See which providers offer the best performance, success rates, and value for your web scraping needs.
ScrapeOps Residential Proxy Aggregator
Use over 20+ residential & mobile proxy providers from a single proxy port. The ScrapeOps Residential Proxy Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.
Residential Proxy Performance Comparisons
We're working on bringing you comprehensive residential and mobile proxy provider comparisons. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best residential proxy provider for scraping Linkedin.
Linkedin Anti-Bots
Anti-scraping systems used by Linkedin to prevent web scraping. These systems can make it harder and more expensive to scrape the website but can be bypassed with the right tools and strategies.
Linkedin Custom Anti-Bot
Linkedin uses their own custom built anti-scraping system designed to hamper and/or prevent web scraping. Linkedin uses a combination of techniques to detect and block scrapers. Linkedin's protections can be bypassed using a number of techniques.
Linkedin Data
Explore the key data types available for scraping and alternative methods such as public APIs, to streamline your web data extraction process.
Data Types
No data types found
Public APIs
API Description
LinkedIn provides a public API that allows access to a variety of user-specific data, such as profile details, connections, messages, and network updates. The API is heavily focused on providing data related to the authenticated user and cannot be utilized to extract information about other users unless an explicit connection or permission is given.The API does not facilitate the extraction of data of all users and their public profiles. Therefore, for broad public data collection, LinkedIn neither provides a public API nor permits scraping (as stated in their robots.txt and terms & conditions).
Access Requirements
An API key is required, which is received when registering an application on LinkedIn's developers' site. The authenticated user's data can be accessed as per user's privacy settings.
API Data Available
Why People Use Web Scraping?
LinkedIn's API is limited to user-specific information, and it does not allow public access to overall data for all users and their profiles, thus leaving developers and researchers no choice but web scraping to gather such data. Web scraping can provide a wealth of data from user profiles, job postings, company pages, and more, much of which is not accessible through LinkedIn's API.However, it's important to note that LinkedIn strictly prohibits scraping of its website data (as stated in its robots.txt file and terms & conditions), so anyone caught gathering data this way is likely to face legal consequences. Thus, while scraping may be technically feasible, it is legally and ethically questionable and generally discouraged.
Linkedin Web Scraping Legality
Understand the legal considerations before scraping Linkedin. Review the website's robots.txt file, terms & conditions, and any past lawsuits to assess the risks. Ensure compliance with applicable laws and minimize the chances of legal action.
Legality Review
LinkedIn's restrictive robots.txt file and Terms of Service reveal a firm policy against web scraping, with only a few search engine bots granted access to specified areas. While these documents reflect the company's stiff posture, keep in mind that they don't automatically enforce absolute legal barriers for scraping public-facing pages. Importantly, court rulings show that scraping public data is generally permissible unless it involves bypassing login protections or access controls.
The critical legal risks typically emerge when scraping behind login walls, extracting personal data, or sidestepping technical access restrictions - activities which could violate the access controls referred to in LinkedIn's terms. When authenticated access is in play, this risk escalates as users have essentially consented to the site's T&Cs. When approaching public pages, developers should be wary of overstepping, breaching banned sections, and manage any personal or copyrighted data judiciously. Notably, such activities can result in punitive actions ranging from restrictions to account termination as per LinkedIn's policies.
Linkedin Robots.txt
Does Linkedin robot.txt permit web scraping?
Summary
The robots.txt file for LinkedIn determines how automated internet crawlers are allowed to engage with the site. The file shows restrictive posture with rules such as Disallow: /, Disallow: /psettings/, and Disallow: /smb/. These rules block almost all areas of the site for typical web scrapers. While some search engine bots are granted various permissions, the directives mostly apply to all standard user agents.
Despite the firmly restrictive stance, the robots.txt file does have allowances like Allow: /mwlite/, Allow: /school/, and Allow: /jobs/. Yet, these allowances are restricted to only specific search engine bots. In terms of sitemaps, there's only one reference such as Sitemap: https://www.linkedin.com/sitemap.xml. In essence, LinkedIn's robots.txt permits rampant restrictions on most areas for bog-standard scrapers, with only a few well-defined areas left open for specific crawlers. Its configuration manifests a highly restrictive stance toward web scraping, barring a few exceptions for certain search engine bots.
Linkedin Terms & Conditions
Does Linkedin Terms & Conditions permit web scraping?
Summary
The terms of service for LinkedIn include explicit statements about automated access and data extraction. The terms state:
“Develop, support or use software, devices, scripts, robots or any other means or processes (including crawlers, browser plugins and add-ons, or any other technology) to scrape the Services or otherwise copy profiles and other data from the Services.”
“Use bots or other automated methods to access the Services, add or download contacts, send or redirect messages” and “Override any security feature or bypass or circumvent any access controls or use limits of the Service (such as caps on keyword searches or profile views).”
This covers all scraping, crawling, or bot-driven collection across both public and logged-in parts of the site. While enforceability can depend on whether a user has explicitly agreed to the terms (for example, by creating an account), LinkedIn frames these restrictions as universal when using its Services.
LinkedIn does provide official APIs (e.g., the LinkedIn Developer Platform), but access is limited and subject to separate approvals and agreements. The terms also prohibit attempts to bypass barriers such as logins, rate limits, or CAPTCHAs, as reflected in the prohibition on “override any security feature or bypass or circumvent any access controls or use limits.” Violations can lead to enforcement actions, including that LinkedIn may “restrict, suspend or terminate your account” for breaches or misuse. In practice, scraping is forbidden unless you have express written permission or are using approved APIs under LinkedIn’s policies.
Linkedin Lawsuits
Legal Actions Against Scrapers: A history of lawsuits filed by the website owner against scrapers and related entities, highlighting legal disputes, claims, and outcomes.
Lawsuits Summary
Linkedin has been involved in 2 legal disputes related to web scraping, primarily targeting companies and individuals who scrape its product data, pricing information, and customer reviews without authorization.
Found 2 lawsuits
hiQ Labs, Inc. v. LinkedIn Corporationwon
hiQ Labs, a data analytics company, scraped publicly available LinkedIn profiles for professional skill analysis. LinkedIn sent a cease-and-desist letter to hiQ Labs and implemented technical measures to block their access.The case centered on whether scraping publicly available data from a website could be considered a violation of the Computer Fraud and Abuse Act (CFAA).
Plaintiff
hiQ Labs, Inc.
Defendant
LinkedIn Corporation
Date filed
23 May 2017 - 18 Apr 2022
Legal Basis
More Links
LinkedIn Corp. v. hiQ Labs, Inc.won
LinkedIn sued hiQ Labs for scraping publicly available data from LinkedIn profiles. The case centered on whether scraping publicly accessible data from a website violates the Computer Fraud and Abuse Act (CFAA).This landmark case had significant implications for the legality of web scraping and the interpretation of the CFAA.
Plaintiff
LinkedIn Corporation
Defendant
hiQ Labs, Inc.
Date filed
8 May 2017 - 18 Apr 2022
Legal Basis
More Links
Linkedin Github Repos
Find the best open-source scrapers for Linkedin on Github. Clone them and start scraping straight away.
Language
Code Level
Stars
LinkedIn Data Scraper is a tool that extracts valuable data from LinkedIn profiles and company pages. It can collect profile details, including contact information and work experiences, and format the data for further use, such as in automation software.
Page Types: User Profile, Company Page
9 years ago
JobSpy
JobSpy is a job scraping library that aggregates job postings from various job boards like LinkedIn, Indeed, and Glassdoor. It provides features for concurrent scraping and data aggregation into a dataframe, allowing users to manage job postings efficiently.
Page Types: Job Page, Job List
2 years ago
linkedin_scraper
Linkedin Scraper is a tool that extracts user data, company information, and job postings from LinkedIn. It allows users to scrape profiles, company details, and job searches, even from sites that require login credentials.
Page Types: User Profile, Company Page, Job Page, Job List
8 years ago
linkedin-scraper
LinkedIn Jobs Scraper is a tool designed to extract job postings from LinkedIn that leverages the Selenium WebDriver to handle dynamically rendered content. It provides an interface to perform searches for job listings based on keywords and locations using a premium user account.
Page Types: Job Page, Job List
8 months ago
py-linkedin-jobs-scraper
linkedin-jobs-scraper is a tool designed to extract publicly available job listings from LinkedIn. It captures essential job details such as job ID, title, company, location, and description, providing a streamlined way to access job information.
Page Types: Job Page, Job List
5 years ago
linkedin-scraper
linkedin-scraper is a tool for extracting data from public LinkedIn profiles that retrieves information such as names, job titles, locations, and companies. It enables users to obtain detailed career information and connections through easy-to-use Ruby gem functionalities.
Page Types: User Profile
13 years ago
linkedin-profile-scraper-api
LinkedIn Profile Scraper is a tool designed to extract publicly available data from LinkedIn profiles. It efficiently retrieves structured information such as work experience, education, and skills using a Puppeteer headless browser.
Page Types: User Profile
7 years ago
Linkedin Web Scraping Articles
Find the best web scraping articles for Linkedin. Learn how to get started scraping Linkedin.
Language
Code Level
How to Scrape a Website that Requires Login with Python - DEV Community
This article shows how to scrape data from a website that requires user authentication using Python. It provides a detailed guide with code examples on handling different login scenarios and accessing protected pages.
1 min to read
dev.to
How to Scrape LinkedIn in 2025
This guide provides insights into scraping LinkedIn data through various methods using Python. It covers methods for extracting information from public profile pages, company data, job listings, and job searches with detailed code examples and best practices.
1 min to read
scrapfly.io
How to scrape LinkedIn profiles and companies
This article provides a step-by-step guide on how to scrape LinkedIn for company and individual profile URLs using pre-built scrapers from the Apify Store. It explains the usage of LinkedIn Company URL Finder and LinkedIn People Finder, detailing the input requirements and how to download the scraped data in multiple formats.
1 min to read
apify.com
How To Scrape LinkedIn
This tutorial shows how to scrape LinkedIn data to extract valuable information from public profiles that can assist in lead generation, recruiting, and market research. It details the use of various tools like Scrapy, Selenium, and BeautifulSoup to automate data collection efficiently.
1 min to read
pixiebrix.com
The Fine Line of LinkedIn Data Scraping: Legality, Consequences, and Best Practices | Engage AI
This article discusses the legality, risks, and best practices associated with data scraping on LinkedIn. It explores the implications of scraping activities, such as the potential for account bans and the balance between ethical and unethical scraping practices.
1 min to read
engage-ai.co
Scraping Data From LinkedIn: Pro Scraper’s Guide + Code | by Anthony Heath | Geek Culture | Medium
This guide demonstrates how to scrape data from LinkedIn using Python and Selenium, providing detailed instructions for setting up and executing the scraping process. It emphasizes legal considerations when scraping public domain data from the platform to maintain ethical practices.
1 min to read
medium.com
How to build a Web Scraper for LinkedIn | by Ahmed Negm | Medium
This article shows how to build and automate a web scraping tool to extract data from LinkedIn profiles using Selenium and Beautiful Soup, enabling users to collect posts and analyze workforce data. It contains step-by-step instructions along with code snippets and a GitHub repository link for further reference.
1 min to read
medium.com
Linkedin Web Scraping Videos
Find the best web scraping videos for Linkedin. Learn how to get started scraping Linkedin.
Language
Code Level
How to EASILY Scrape LinkedIn Profiles & Posts in Minutes Using N8N
This tutorial demonstrates how to automate LinkedIn data extraction by building a LinkedIn scraper using Apify automation and N8N workflow. Viewers will learn to collect profile information, posts, and engagement metrics without manual work, using a Python script alternative to streamline the process.
6 months ago
Using An AI Agent To Scrape LinkedIn Profile Data In Seconds
This tutorial teaches how to use Relevance AI to efficiently scrape LinkedIn profile data, streamlining outreach, research, and lead generation tasks. The video demonstrates an automated AI workflow, significantly reducing the time required for manual data collection.
7 months ago
How to Scrape LinkedIn Without Paid APIs Using n8n
This tutorial demonstrates how to scrape up to 1,000 LinkedIn profiles daily using n8n automation to extract data into a Google Sheet. It covers setup and configuration, including setting up Google Search API credentials, all within a quick and easy process.
9 months ago
How to Scrape LinkedIn Posts Using Bardeen AI - Step-by-Step Guide
This tutorial demonstrates how to efficiently scrape LinkedIn posts using Bardeen AI after encountering challenges with the LinkedIn API and other methods. The video provides a step-by-step guide for setting up Bardeen AI, creating a scraper template, and exporting the scraped data effectively.
11 months ago
Full LinkedIn Profile Scraping in Python using Selenium and BeautifulSoup | Save Data in JSON
This tutorial teaches how to scrape LinkedIn profiles using Selenium, covering everything from setup to advanced scraping techniques. You will learn to extract key profile details and store the data in a JSON format for further use in data analysis or machine learning projects.
1 year ago
The EASIEST Way To Automatically Scrape LinkedIn Posts with Make.com (2024)
This video tutorial teaches how to build an automated LinkedIn post scraper using Make.com, demonstrating input setup through Google Sheets and building a scraper with Apify. By iterating through results, viewers will learn to organize scraped data effectively back into Google Sheets for further analysis.
1 year ago
Scrape Linkedin For Emails And Mobile Phones #'s
This video tutorial covers techniques for web scraping to gather unlimited data from various sources. It introduces strategies to effectively utilize outreach for client acquisition.
1 year ago